The economics of coupled farm subsidies under costly and imperfect enforcement
Why this work is in the frame
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Bibliographic record
Abstract
Abstract This study relaxes the assumption of perfect and costless policy enforcement found in traditional agricultural policy analysis and introduces enforcement costs and cheating into the economic analysis of output subsidies. Policy design and implementation is modeled in this paper as a sequential game between the regulator who decides on the level of intervention, an enforcement agency that determines the level of policy enforcement, and the farmer who makes the production and cheating decisions. Analytical results show that farmer compliance is not the natural outcome of self‐interest and complete deterrence of cheating is not economically efficient. The analysis also shows that enforcement costs and cheating change the welfare effects of output subsidies, the efficiency of the policy instrument in redistributing income, the level of government intervention that transfers a given surplus to agricultural producers, the socially optimal income redistribution, and the social welfare from intervention.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it